RRepoGEO

REPOGEO REPORT · LITE

TW-NLP/ChineseErrorCorrector

Default branch main · commit 8b593797 · scanned 6/1/2026, 6:16:44 AM

GitHub: 604 stars · 43 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface TW-NLP/ChineseErrorCorrector, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, for example, with the Apache-2.0 license text, or your chosen open-source license.
  • mediumhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    Set the GitHub repository homepage URL to 'https://github.com/TW-NLP/ChineseErrorCorrector' or a dedicated project website if one exists.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface TW-NLP/ChineseErrorCorrector
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
fxsjy/jieba
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. fxsjy/jieba · recommended 2×
  2. Baidu NLP API · recommended 1×
  3. Tencent Cloud NLP · recommended 1×
  4. languagetool-org/languagetool · recommended 1×
  5. hankcs/HanLP · recommended 1×
  • CATEGORY QUERY
    What are effective libraries or services for automatically correcting spelling and grammar in Chinese text?
    you: not recommended
    AI recommended (in order):
    1. Baidu NLP API
    2. Tencent Cloud NLP
    3. Jieba (fxsjy/jieba)
    4. LanguageTool (languagetool-org/languagetool)
    5. HanLP (hankcs/HanLP)
    6. Pyltp (HIT-SCIR/pyltp)

    AI recommended 6 alternatives but never named TW-NLP/ChineseErrorCorrector. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a comprehensive toolkit for Chinese text error correction research, model training, and deployment.
    you: not recommended
    AI recommended (in order):
    1. Transformers (Hugging Face) (huggingface/transformers)
    2. PyTorch (pytorch/pytorch)
    3. TensorFlow (tensorflow/tensorflow)
    4. OpenNMT-py (OpenNMT/OpenNMT-py)
    5. Fairseq (facebookresearch/fairseq)
    6. PaddlePaddle (PaddleNLP) (PaddlePaddle/PaddleNLP)
    7. Jieba (fxsjy/jieba)
    8. THULAC (thunlp/THULAC)
    9. FastAPI (tiangolo/fastapi)
    10. Flask (pallets/flask)
    11. DVC (iterative/dvc)

    AI recommended 11 alternatives but never named TW-NLP/ChineseErrorCorrector. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of TW-NLP/ChineseErrorCorrector?
    pass
    AI did not name TW-NLP/ChineseErrorCorrector — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts TW-NLP/ChineseErrorCorrector in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TW-NLP/ChineseErrorCorrector explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo TW-NLP/ChineseErrorCorrector solve, and who is the primary audience?
    pass
    AI named TW-NLP/ChineseErrorCorrector explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of TW-NLP/ChineseErrorCorrector. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/TW-NLP/ChineseErrorCorrector"><img src="https://repogeo.com/badge/TW-NLP/ChineseErrorCorrector.svg" alt="RepoGEO" /></a>
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TW-NLP/ChineseErrorCorrector — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite